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| foreach(a, b; lockstep(indx.row.index, indx.row.codes)) | ||
| { | ||
| ret.indx.row.index ~= a; | ||
| ret.indx.row.codes ~= dropper(positions, b); |
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in general try to avoid doing allocations in a loop, in particular this can be refactored to
ret.indx.row.index = indx.row.index.dup;
ret.indx.row.codes = indx.row.codes.map!((e) => dropper(positions, e)).array.
| Returns: | ||
| Filtered DataFrame | ||
| +/ | ||
| auto filter(alias filterFunc)() @property |
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is there any particular reason why you can't use https://dlang.org/phobos/std_algorithm_iteration.html#.filter ?
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It was mainly due to difference in data type of Homogeneous and Heterogeneous DataFrame.
Filter the rows of a dataframe based on the values returned by the alias function
* Fixed imports of aggregate * Added filter documentation
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The comparison with
homogeneousbranch is intentional to avoid unnecessarily long diffs. Once #11 is merged, I'll change the PR to point to master.This was necessary as the homogeneous optimisation isn't in master yet.
Cc/ @thewilsonator